Browse Items (28 total)
- Collection: Vol 9 No 3 (2025)
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XGBoost Algorithm for Cervical Cancer Risk Prediction: Multi-dimensional Feature Analysis
Cervical cancer continues to pose a significant global health challenge, with early detection remaining the cornerstone for effective intervention. This study is situated at the intersection of clinical oncology and computational…
University Students Stress Detection During Final Report Subject by Using NASA TLX Method and Logistic Regression
Stress is a psychological response that occurs when someone faces pressure or demands that exceed their ability to adapt. In the context of a final-year student, stress is often a significant problem due to academic pressure, such as…
UDAWA Gadadar: Agent-based Cyber-physical System for Universal Small-scale Horticulture Greenhouse Management System
Digitalization inagriculture is becoming increasingly important for improving efficiency and sustainability, but small-scale farmers often face difficulties in adopting digital technologies because of various constraints. This study proposes an…
The Impact of Cancer on Poverty: An Analytical Study Using Big Data and OLS Regression
Cancer is one of the leading causes of death worldwide and has a significant impact on the economic condition of families, especially in developing countries. High medical costs and loss of work productivity often push families of patients with…
The Effect of Hyperparameters on Faster R-CNN inFace Recognition Systems
Facial recognition remains a significant challenge in the advancement of computer vision technologies. This research seeks todevelop a facial recognition system utilizing the Faster R-CNN architecture, with performance enhancement achieved through…
Stunting Prediction Modeling in Toddlers Using a Machine Learning Approach and Model Implementation for Mobile Application
Children’s health and development are critical for maintaining national productivity and independence, with stunting being a major concern. Stunting, a form of malnutrition, impairs growth and development, affecting millions of people …
Prediction of Financial Distress in Retail Companies Using Long-Short Term Memory (LSTM)
Financial distress is a condition in which an entity struggles to meet its debt and operating obligations.. Financial distress can lead to bankruptcy or company closure if corrective action is not taken. This study aims to forecast financial distress…
Performance Comparison of Monolithicand MicroservicesArchitecturesinHandlingHigh-Volume Transactions
Monolithic and microservices are two distinct approaches for designing and developing applications. However, these architectures exhibit contrasting characteristics. In monolithic architecture, all components of an application form a…
Optimizing Sensitivity in Machine Learning Models for Pediatric Post-operative Kyphosis Prediction
Post-operative kyphosis represents a significant complication following pediatric spinal corrective surgery, necessitating sophisticated prediction methods to identify high-risk patients. This study developed and evaluated machine learning…
Obesity Status Prediction Through Artificial Intelligence and Balanced Label Distribution Using SMOTE
Obesity, a global health challenge influenced by genetic and environmental factors, is characterized by excessive body fat that increases the risk of various diseases. With over two billion individuals affected worldwide, addressing this issue is…